Transferring real-time data processed within Apache Flink to Kafka

Transferring real-time data processed within Apache Flink to Kafka and ultimately to Druid for analysis/decision-making. Businesses can react quickly and effectively to user behavior patterns by using real-time analytics. This […]

Streaming real-time data from Kafka 3.7.0 to Flink 1.18.1 for processing

Over the past few years, Apache Kafka has emerged as the leading standard for streaming data. Fast-forward to the present day, Kafka has achieved ubiquity, being adopted by at least […]

Why Apache Kafka and Apache Flink work incredibly well together to boost real-time data analytics

When data is analyzed and processed in real-time, it can yield insights and actionable information either instantly or with very little delay from the time the data is collected. The […]

Why Kappa Architecture for processing of streaming data. Have competence to superseding Lambda Architecture?

Data is quickly becoming the new currency of the digital economy, but it is useless if it can’t be processed. The processing of data is essential for subsequent decision-making or […]

Streaming by Apache Flink

Basic Understanding of Stateful data Streaming supported by Apache Flink

The technologies related to Big Data processing platform are enhancing the maturity in order to efficiently execute the streaming data which is becoming a major focal point to take business […]

Apache Flink

Apache Flink – A 4G Data Processing Engine

Analyzing streaming data in large-scale systems is becoming a focal point day by day to take accurate business decisions due to mushrooming of digital data generation sources around the globe […]